A Digitally Testable $\Sigma-\Delta$ Modulator Using the Decorrelating Design-for-Digital-Testability
Bibliographic record
Abstract
This paper demonstrates a digitally testable second-order Σ - Δ modulator. The modulator under test (MUT) employs the decorrelating design-for-digital-testability (D <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup> T) scheme to provide two operation modes: the normal mode and the digital test mode. In the digital test mode, the input switched-capacitor network of the D <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup> T modulator is reconfigured as two sub-digital-to-charge converters (sub-DCCs). Each of the sub-DCCs accepts a Σ - Δ modulated bit-stream as its test stimulus. By repetitively inputting the DCCs with the same Σ - Δ modulated bit-stream but with different delays, the DCCs incorporates with the integrator to generate the analog stimulus in the digital test mode. The analog stimulus is analogous to the result of filtering the bit-stream with a two-nonzero-term FIR decorrelating term. Consequently, the D <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup> T MUT suffers less from the undesired shaped noise of the digital stimuli, and achieves better digital test accuracy. Measurement results show that the digital tests present a peak signal-to-noise-and-distortion ratio (SNDR) of 80.1 dB at an oversampling ratio of 128. The SNDR results of the digital tests differ from their conventional analog counterparts by no more than 2 dB except for the -3.2 dBFS test. The analog hardware overhead of the D <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup> T MUT only consists of 13 switches.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".